Triple
T16768484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johan Harmen Rudolf Köhler |
E407529
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Köhler |
E615415
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Köhler | Statement: [Johan Harmen Rudolf Köhler, familyName, Köhler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Köhler Context triple: [Johan Harmen Rudolf Köhler, familyName, Köhler]
-
A.
Köhler
chosen
Köhler is a German surname most notably associated with psychologist Wolfgang Köhler, a key figure in the development of Gestalt psychology.
-
B.
Nissalke
Nissalke is the surname of Tom Nissalke, an American professional basketball coach known for his stints in the NBA and ABA.
-
C.
Kohl-Richter
Kohl-Richter is the hyphenated surname of Maike Kohl-Richter, the second wife of former German Chancellor Helmut Kohl.
-
D.
Lehwaldt
Lehwaldt was a Prussian field marshal best known for commanding Prussian forces in the early campaigns of the Seven Years' War in Europe.
-
E.
Bischoffen
Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0349bc88190938750f1e5af192a |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a533e83481909966a7b86c8c8e64 |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.